Jakub Náplava is an ML research leader with 11 years of experience, currently heading small research teams at Seznam.cz where he steers work from semantic search to cutting-edge audio foundation models. He holds a Ph.D. in Artificial Intelligence from Charles University and has translated academic rigor into production impact—leading the adoption of vector search and BERT-based featured snippets that measurably improved Seznam’s search relevance. Jakub’s team published in SIGIR and AAAI, and he has hands-on expertise across ASR, TTS, semantic embeddings and pragmatic ML engineering from model design to deployment. Prior roles at IBM honed his deep learning practice in OCR, segmentation and custom NLP systems, while his leadership combines mentoring, public speaking and internal knowledge sharing. He is notable for bridging Czech-language research (large Czech query-document datasets and compact Czech embedding models) with real-world search and audio products.
11 years of coding experience
6 years of employment as a software developer
Master's degree, Artificial Intelligence, A, Master's degree, Artificial Intelligence, A at Charles University in Prague, Faculty of Mathematics and Physics
maturita, maturita at Grammar School in Uherské Hradiště
Doctor of Philosophy - PhD, Artificial Intelligence, Doctor of Philosophy - PhD, Artificial Intelligence at Charles University in Prague
Contributions:94 commits, 36 pushes, 9 comments in 1 year
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Jakub Náplava - ML Research Team Lead at Seznam.cz